Machine Learning

Machine learning is an application of artificial intelligence (AI) that gives systems the ability to automatically learn and improve from experience without explicit programming. Machine learning aims to develop computer programs that can access data and use it for learning.

The learning process begins with observations or data, such as examples, direct experience, or instruction, to look for patterns in the data and make more informed decisions in the future based on the examples we provide. The main goal is to allow computers to learn automatically without human intervention or assistance and to adjust actions accordingly.

But, using classical machine learning algorithms, the text is treated as a sequence of keywords; Instead, a semantic analysis approach mimics the human ability to understand the meaning of a text.
Machine learning is a field of computer science that aims to teach computers to learn and act without explicit programming. In particular, machine learning is an approach to data analysis that involves the creation and adaptation of models that allow programs to “learn” from their own experience. Machine learning involves creating algorithms that adapt your models to improve their ability to make predictions.

Artificial Intelligence

Scalable Machine Learning on Big Data using Apache Spark

Scalable Machine Learning on Big Data using Apache Spark – Certificate IBM – Scalable Machine Learning on Big Data using…

Deep Neural Networks

Deep Neural Networks with PyTorch

Deep Neural Networks with PyTorch – Certificate IBM – Deep Neural Networks with PyTorch About this Course The course will…

Deep Learning & Neural Networks with Keras

Introduction to Deep Learning & Neural Networks with Keras

Introduction to Deep Learning & Neural Networks with Keras – Certificate IBM – Introduction to Deep Learning & Neural Networks…